Triple
T18811780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tinago Falls |
E460032
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Iligan City |
—
|
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: Iligan City | Statement: [Tinago Falls, locatedIn, Iligan City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iligan City Context triple: [Tinago Falls, locatedIn, Iligan City]
-
A.
Iligan
chosen
Iligan is a highly urbanized coastal city in the northern part of Mindanao in the Philippines, known for its numerous waterfalls and industrial economy.
-
B.
Ojo
Ojo is a suburban local government area in Lagos State, Nigeria, known for its rapidly growing residential communities and the presence of institutions like Lagos State University.
-
C.
Ojo
Ojo is a central character in L. Frank Baum’s Oz series, notably a Munchkin boy whose quest drives the plot of "The Patchwork Girl of Oz."
-
D.
Ibadan
Ibadan is one of the largest and most populous cities in southwestern Nigeria, historically significant as a major Yoruba cultural and economic center.
-
E.
Bariga
Bariga is a densely populated, historically working-class neighborhood in Lagos, Nigeria, known for its vibrant street life and cultural scene.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3dcc7d88190801d9c9202e0e411 |
completed | April 20, 2026, 3:56 a.m. |
Created at: April 10, 2026, 11:53 a.m.