Triple
T10268005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Region 11 |
E240759
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Panabo |
E240756
|
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: Panabo | Statement: [Region 11, hasMajorCity, Panabo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panabo Context triple: [Region 11, hasMajorCity, Panabo]
-
A.
Panabo
chosen
Panabo is a coastal component city in Davao del Norte, Philippines, known for its extensive banana plantations and role in the region’s agricultural economy.
-
B.
The Lake City
The Lake City is the nickname of Acworth, a Georgia city known for its scenic lakes and waterfront recreation.
-
C.
Wasilla
Wasilla is a small city in south-central Alaska known as part of the Anchorage metropolitan area and for being the hometown of former governor Sarah Palin.
-
D.
Lake City
Lake City is a nickname for Lake Charles, a city in southwestern Louisiana known for its petrochemical industry, casinos, and proximity to the Gulf Coast.
-
E.
Lake City
Lake City is a small city in northern Florida known as a regional hub for healthcare, commerce, and outdoor recreation near numerous lakes and natural springs.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d26df80081908514fd5c9392e2b7 |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f805d49c8190becddbbf17ac65fd |
completed | April 9, 2026, 12:51 a.m. |
Created at: April 6, 2026, 11:34 a.m.