Triple
T30312381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Rivers, Texas |
E770960
|
entity |
| Predicate | isCrossroadsBetween |
P35084
|
FINISHED |
| Object | San Antonio, Texas |
—
|
NE NERFINISHED |
How this triple was built (2 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: San Antonio, Texas | Statement: [Three Rivers, Texas, isCrossroadsBetween, San Antonio, Texas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCrossroadsBetween Context triple: [Three Rivers, Texas, isCrossroadsBetween, San Antonio, Texas]
-
A.
isLocalCrossroads
chosen
Indicates that a location serves as a junction where multiple local routes or streets intersect.
-
B.
isCrossBetween
Indicates that one entity is a hybrid or intermediate form resulting from the combination or mixing of two other entities.
-
C.
isOnlyDirectCrossingBetween
Indicates that one entity serves as the sole direct crossing (e.g., bridge, passage, or connection) between two other entities, with no alternative direct crossing available.
-
D.
isTransportHubBetween
Indicates that a location functions as a central node facilitating transportation connections between two or more other places.
-
E.
railCrossingBetween
Indicates that a railway crossing is located between two specified entities or locations, connecting or intersecting them.
- F. None of above.
Provenance (3 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_69f22488f224819081b0f3ec41ab975c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6816ceb688190b2e5f01205f3c550 |
completed | May 2, 2026, 10:57 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:50 p.m.