Triple
T16168862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Juan Heights |
E392379
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | El Caney |
E392380
|
NE 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: El Caney | Statement: [San Juan Heights, near, El Caney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Caney Context triple: [San Juan Heights, near, El Caney]
-
A.
El Caney
chosen
El Caney is a village near Santiago de Cuba that was the site of a major and fiercely contested battle during the Spanish–American War.
-
B.
Tishomingo
Tishomingo is a small city in southern Oklahoma known as the county seat of Johnston County and for its historic ties to the Chickasaw Nation.
-
C.
Lafange
Lafange is a 1975 Hindi-language Bollywood film best known for starring Randhir Kapoor in a leading role.
-
D.
Salado Creek
Salado Creek is a spring-fed stream in south-central Texas that flows through the San Antonio area and contributes to the region’s watershed and natural habitats.
-
E.
Tonto Creek
Tonto Creek is a river in central Arizona that flows through the Tonto Basin before joining the Salt River, supporting local ecosystems and recreation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb5e6d881908749683091afa90c |
completed | April 17, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000785fcd481909ddf92cf9cc5c0aa |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:02 a.m.