Triple
T2927998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Houston–The Woodlands–Sugar Land metropolitan area |
E78892
|
entity |
| Predicate | containsCounty |
P5971
|
FINISHED |
| Object |
Waller County
Waller County is a county in southeastern Texas that forms part of the greater Houston metropolitan region.
|
E412057
|
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: Waller County | Statement: [Houston–The Woodlands–Sugar Land metropolitan area, containsCounty, Waller County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waller County Context triple: [Houston–The Woodlands–Sugar Land metropolitan area, containsCounty, Waller County]
-
A.
Donley County
Donley County is a rural county in the Texas Panhandle known for its ranching heritage, small communities, and wide-open High Plains landscapes.
-
B.
Parmer County
Parmer County is a rural county in the western Texas Panhandle known for its agriculture-based economy and small, close-knit communities.
-
C.
Ringgold County
Ringgold County is a rural county located in the southwestern part of the U.S. state of Iowa.
-
D.
Cottle County
Cottle County is a sparsely populated rural county in north-central Texas known for its ranching, agriculture, and small-town communities.
-
E.
Burnet County
Burnet County is a central Texas county known for its scenic lakes, rolling hills, and outdoor recreation in the Texas Hill Country.
- 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: Waller County Triple: [Houston–The Woodlands–Sugar Land metropolitan area, containsCounty, Waller County]
Generated description
Waller County is a county in southeastern Texas that forms part of the greater Houston metropolitan region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Waller County Target entity description: Waller County is a county in southeastern Texas that forms part of the greater Houston metropolitan region.
-
A.
Donley County
Donley County is a rural county in the Texas Panhandle known for its ranching heritage, small communities, and wide-open High Plains landscapes.
-
B.
Parmer County
Parmer County is a rural county in the western Texas Panhandle known for its agriculture-based economy and small, close-knit communities.
-
C.
Ringgold County
Ringgold County is a rural county located in the southwestern part of the U.S. state of Iowa.
-
D.
Cottle County
Cottle County is a sparsely populated rural county in north-central Texas known for its ranching, agriculture, and small-town communities.
-
E.
Burnet County
Burnet County is a central Texas county known for its scenic lakes, rolling hills, and outdoor recreation in the Texas Hill Country.
- 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97ff0ddc8190acba9863bbe4f54b |
completed | March 8, 2026, 3:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b217af0819084d8aed695b8377b |
completed | March 14, 2026, 2:05 p.m. |
| NEDg | Description generation | batch_69b56bdcfa94819096df212e6e99937e |
completed | March 14, 2026, 2:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b56c5e73e88190896176180a9e58cd |
completed | March 14, 2026, 2:10 p.m. |
Created at: March 8, 2026, 2:55 p.m.