Triple
T14762454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silvestre Reyes |
E346900
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Canutillo, Texas |
—
|
NE ONDG |
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: Canutillo, Texas | Statement: [Silvestre Reyes, placeOfBirth, Canutillo, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canutillo, Texas Context triple: [Silvestre Reyes, placeOfBirth, Canutillo, Texas]
-
A.
Tehuacana, Texas
Tehuacana, Texas is a small rural town in Limestone County known for its historic roots and quiet, close-knit community.
-
B.
Velasco, Texas
Velasco, Texas was a historic Gulf Coast port town that played a key role in early Texas history, including as the site where treaties ending the Texas Revolution were signed.
-
C.
Mexia, Texas
Mexia, Texas is a small city in Limestone County known historically for its oil boom and as a regional commercial center in central Texas.
-
D.
Mesquite, Texas
Mesquite, Texas is a suburban city in the eastern part of the Dallas–Fort Worth area known for its strong retail centers, rodeo heritage, and family-oriented residential communities.
-
E.
Alvarado, Texas
Alvarado, Texas is a small historic city in North Texas known as the oldest city in Johnson County and part of the Dallas–Fort Worth metropolitan area.
- 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: Canutillo, Texas Triple: [Silvestre Reyes, placeOfBirth, Canutillo, Texas]
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Canutillo, Texas Target entity description: Canutillo, Texas is a small unincorporated community in El Paso County near the U.S.–Mexico border, forming part of the El Paso metropolitan area.
-
A.
Tehuacana, Texas
Tehuacana, Texas is a small rural town in Limestone County known for its historic roots and quiet, close-knit community.
-
B.
Velasco, Texas
Velasco, Texas was a historic Gulf Coast port town that played a key role in early Texas history, including as the site where treaties ending the Texas Revolution were signed.
-
C.
Mexia, Texas
Mexia, Texas is a small city in Limestone County known historically for its oil boom and as a regional commercial center in central Texas.
-
D.
Mesquite, Texas
Mesquite, Texas is a suburban city in the eastern part of the Dallas–Fort Worth area known for its strong retail centers, rodeo heritage, and family-oriented residential communities.
-
E.
Alvarado, Texas
Alvarado, Texas is a small historic city in North Texas known as the oldest city in Johnson County and part of the Dallas–Fort Worth metropolitan area.
- F. None of above. chosen
Provenance (4 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f207dc819088a53f717736a121 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01953c493c819084850ab8e7f0d261 |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a01963971248190b5e2b0b77eb7cbfe |
in_progress | May 11, 2026, 8:41 a.m. |
Created at: April 10, 2026, 1:30 a.m.