Triple
T20104895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mughal Subah of Orissa |
E490141
|
entity |
| Predicate | hadPort |
P2745
|
FINISHED |
| Object | Pipili |
—
|
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: Pipili | Statement: [Mughal Subah of Orissa, hadPort, Pipili]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pipili Context triple: [Mughal Subah of Orissa, hadPort, Pipili]
-
A.
Pipili
chosen
Pipili is a town in the Indian state of Odisha, noted for its traditional appliqué handicrafts and vibrant textile art.
-
B.
Pischa
Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
-
C.
Mampruli
Mampruli is a Gur language spoken primarily by the Mamprusi people of northern Ghana and neighboring regions.
-
D.
Quipile
Quipile is a rural municipality in the Cundinamarca Department of Colombia, known for its agricultural economy and location in the Andean region.
-
E.
Papingo
Papingo is a picturesque traditional village in the Zagori region of Epirus, northwestern Greece, known for its stone architecture and dramatic mountain scenery.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666daf73c819089f02ca6faa2c283 |
completed | April 20, 2026, 5:48 p.m. |
Created at: April 11, 2026, 11:28 p.m.