Triple
T17375412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cibolo |
E422422
|
entity |
| Predicate | servedByHighway |
P385
|
FINISHED |
| Object |
FM 1103
FM 1103 is a Texas Farm to Market road that serves as a key local connector route in and around the city of Cibolo.
|
E1267177
|
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: FM 1103 | Statement: [Cibolo, servedByHighway, FM 1103]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FM 1103 Context triple: [Cibolo, servedByHighway, FM 1103]
-
A.
FM 1140
FM 1140 is a Farm to Market road in Texas that serves as a local transportation route providing access to and within Heath.
-
B.
FM 1389
FM 1389 is a Farm to Market road in Texas that serves as a local connector route between rural communities and larger highways.
-
C.
FM 78
FM 78 is a Texas state farm-to-market road that serves as a key local thoroughfare connecting communities such as Cibolo in the San Antonio metropolitan area.
-
D.
FM 720
FM 720 is a Farm to Market Road in Texas that serves as a regional connector route between local communities and larger highways.
-
E.
FM 407
FM 407 is a Texas state Farm to Market road that serves as a key local thoroughfare connecting communities in the Denton County 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: FM 1103 Triple: [Cibolo, servedByHighway, FM 1103]
Generated description
FM 1103 is a Texas Farm to Market road that serves as a key local connector route in and around the city of Cibolo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FM 1103 Target entity description: FM 1103 is a Texas Farm to Market road that serves as a key local connector route in and around the city of Cibolo.
-
A.
FM 1140
FM 1140 is a Farm to Market road in Texas that serves as a local transportation route providing access to and within Heath.
-
B.
FM 1389
FM 1389 is a Farm to Market road in Texas that serves as a local connector route between rural communities and larger highways.
-
C.
FM 78
FM 78 is a Texas state farm-to-market road that serves as a key local thoroughfare connecting communities such as Cibolo in the San Antonio metropolitan area.
-
D.
FM 720
FM 720 is a Farm to Market Road in Texas that serves as a regional connector route between local communities and larger highways.
-
E.
FM 407
FM 407 is a Texas state Farm to Market road that serves as a key local thoroughfare connecting communities in the Denton County area.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6c864481908507290282cc6d25 |
completed | April 19, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01a7ed9e988190a60106a1a0f94210 |
completed | May 11, 2026, 9:57 a.m. |
| NEDg | Description generation | batch_6a01a886818881909f237f69c6d77f93 |
completed | May 11, 2026, 9:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a9183410819083c8239e3ce38ea2 |
completed | May 11, 2026, 10:02 a.m. |
Created at: April 10, 2026, 5:44 a.m.