Triple
T17846961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Valley (Costa Rica) |
E445688
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Tibas |
E628651
|
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: Tibas | Statement: [Central Valley (Costa Rica), hasMajorCity, Tibas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tibas Context triple: [Central Valley (Costa Rica), hasMajorCity, Tibas]
-
A.
Tibás
chosen
Tibás is an urban canton in Costa Rica known for being part of the Greater San José metropolitan area and home to the popular football club Deportivo Saprissa.
-
B.
Tiba
Tiba is a modern planned city in Egypt’s Luxor Governorate, developed to accommodate population growth and support regional economic and urban expansion.
-
C.
Tialo
Tialo is an Austronesian language of the Tomini–Tolitoli subgroup spoken in Central Sulawesi, Indonesia.
-
D.
Tibarg
Tibarg is the central shopping and main thoroughfare of the Hamburg district Niendorf, known for its retail stores and local amenities.
-
E.
Ticha
Ticha is a retired Portuguese basketball point guard best known for her standout WNBA career, particularly with the Sacramento Monarchs.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48ffb35248190a80a428686e06d87 |
completed | April 19, 2026, 8:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0307039ae881909222fcc9827735d2 |
completed | May 12, 2026, 10:54 a.m. |
Created at: April 10, 2026, 10:16 a.m.