Triple
T9066614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peoples’ Democratic Party |
E217260
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | HDP |
E776011
|
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: HDP | Statement: [Peoples’ Democratic Party, shortName, HDP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HDP Context triple: [Peoples’ Democratic Party, shortName, HDP]
-
A.
HDP
HDP is the acronym for Heritage Documentation Programs, a U.S. National Park Service initiative that records and preserves historic sites, structures, and engineering works through detailed documentation.
-
B.
HDP
chosen
The HDP (Peoples' Democratic Party) is a left-wing, pro-Kurdish and progressive political party in Turkey that advocates for minority rights, democracy, and social justice.
-
C.
CDH
CDH is the College of Humanities at EPFL, responsible for teaching and research in human and social sciences within the Swiss engineering and technology university.
-
D.
Hadoop
Hadoop is an open-source framework that enables distributed storage and parallel processing of large data sets across clusters of commodity hardware.
-
E.
YARN
YARN (Yet Another Resource Negotiator) is Hadoop’s cluster resource management and job scheduling framework that coordinates and allocates system resources for distributed data processing applications.
- 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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc94bde9c08190a4f568fbccc3c3e9 |
completed | April 1, 2026, 3:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d017a3926881909140f59c60ec3588 |
completed | April 3, 2026, 7:40 p.m. |
Created at: March 30, 2026, 7:11 p.m.