Triple
T14138901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manises |
E350369
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object | manisera |
E1082459
|
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: manisera | Statement: [Manises, hasDemonym, manisera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: manisera Context triple: [Manises, hasDemonym, manisera]
-
A.
manisero
chosen
A manisero is a resident or native of Manises, a municipality in the province of Valencia, Spain.
-
B.
Mannanan
Mannanan is a high-speed catamaran ferry operated by the Isle of Man Steam Packet Company on routes linking the Isle of Man with ports in the British Isles.
-
C.
Mangin
Mangin is a French surname borne by various notable figures, including military leaders, politicians, and artists.
-
D.
Manod
Manod is a small village in Gwynedd, Wales, situated near the former slate-mining town of Blaenau Ffestiniog in the historic county of Merionethshire.
-
E.
Muanda
Muanda is a coastal town in the Democratic Republic of the Congo situated near the mouth of the Congo River on the Atlantic Ocean.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6111a36081909beff35c88a56960 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7e655908190bf81dcbad1b10292 |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 10, 2026, 12:40 a.m.