Triple
T8867663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forest Hill, Texas |
E211059
|
entity |
| Predicate | directionFromFortWorthDowntown |
P85442
|
FINISHED |
| Object | southeast |
—
|
LITERAL FINISHED |
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: southeast | Statement: [Forest Hill, Texas, directionFromFortWorthDowntown, southeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionFromFortWorthDowntown Context triple: [Forest Hill, Texas, directionFromFortWorthDowntown, southeast]
-
A.
directionFromChicago
Indicates the cardinal or relative compass direction of an entity’s location measured from Chicago.
-
B.
isDowntownEndpointOf
Indicates that a location serves as the downtown terminus or endpoint of a route, line, or path.
-
C.
directionFromPittsburgh
Indicates the cardinal or relative compass direction in which one entity is located from Pittsburgh.
-
D.
directionFromWashingtonDC
Indicates the cardinal or relative compass direction of one place or object as measured from Washington, D.C.
-
E.
directionFromTrenton
Indicates the cardinal or relative compass direction in which one entity is located from Trenton.
- 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_69ca838d3c7c8190a849566d5afd2b11 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6108530c819084559f4de669ce20 |
completed | April 1, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2956788190a311c647b4da17a6 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5d6e54808190af4156edd4c8ffbc |
completed | March 31, 2026, 11:49 p.m. |
Created at: March 30, 2026, 6:51 p.m.