Triple
T11353295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perry Lefors Field |
E268887
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Pampa, Texas
Pampa, Texas is a small city in the Texas Panhandle known historically for its role in the oil and gas industry and as a regional hub for agriculture and transportation.
|
E920796
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Pampa, Texas | Statement: [Perry Lefors Field, locatedIn, Pampa, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pampa, Texas Context triple: [Perry Lefors Field, locatedIn, Pampa, Texas]
-
A.
Pantego, Texas
Pantego, Texas is a small incorporated town in the Dallas–Fort Worth metropolitan area known for its suburban residential character and proximity to Arlington.
-
B.
Palmer, Texas
Palmer, Texas is a small town located in Ellis County within the Dallas–Fort Worth metropolitan area.
-
C.
Purves, Texas
Purves, Texas is a small rural unincorporated community located in Erath County in north-central Texas.
-
D.
Mount Pleasant, Texas
Mount Pleasant, Texas is a small city in northeastern Texas that serves as a regional commercial and cultural hub within the Ark-La-Tex area.
-
E.
Tatum, Texas
Tatum, Texas is a small city in East Texas known for its rural character and location near the intersection of major regional highways.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pampa, Texas Triple: [Perry Lefors Field, locatedIn, Pampa, Texas]
Generated description
Pampa, Texas is a small city in the Texas Panhandle known historically for its role in the oil and gas industry and as a regional hub for agriculture and transportation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pampa, Texas Target entity description: Pampa, Texas is a small city in the Texas Panhandle known historically for its role in the oil and gas industry and as a regional hub for agriculture and transportation.
-
A.
Pantego, Texas
Pantego, Texas is a small incorporated town in the Dallas–Fort Worth metropolitan area known for its suburban residential character and proximity to Arlington.
-
B.
Palmer, Texas
Palmer, Texas is a small town located in Ellis County within the Dallas–Fort Worth metropolitan area.
-
C.
Purves, Texas
Purves, Texas is a small rural unincorporated community located in Erath County in north-central Texas.
-
D.
Mount Pleasant, Texas
Mount Pleasant, Texas is a small city in northeastern Texas that serves as a regional commercial and cultural hub within the Ark-La-Tex area.
-
E.
Tatum, Texas
Tatum, Texas is a small city in East Texas known for its rural character and location near the intersection of major regional highways.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea24489081908fbf47fd2e6d709c |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e543a6e97481909dc77a553b217b4d |
completed | April 19, 2026, 9:05 p.m. |
| NEDg | Description generation | batch_69e548bb7be4819093aeeaf0c048033e |
completed | April 19, 2026, 9:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e54efda820819092d6a94fa4fd21f0 |
completed | April 19, 2026, 9:54 p.m. |
Created at: April 8, 2026, 9:33 p.m.