Triple

T7815287
Position Surface form Disambiguated ID Type / Status
Subject National Parliament of East Timor E180988 entity
Predicate abbreviation P43 FINISHED
Object PN
PN is the commonly used abbreviation for the National Parliament of East Timor, the country's unicameral legislative body.
 E694785 NE FINISHED

How this triple was built (4 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: PN | Statement: [National Parliament of East Timor, abbreviation, PN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PN
Context triple: [National Parliament of East Timor, abbreviation, PN]
  • A. PN
    PN is the official abbreviation for the Philippine Navy, the naval warfare branch of the Armed Forces of the Philippines.
  • B. PN
    PN is the vehicle registration code used for the Italian city and province of Pordenone in the Friuli Venezia Giulia region.
  • C. PNP
    The PNP is the national law enforcement agency of Peru responsible for maintaining public order, preventing and investigating crime, and ensuring internal security across the country.
  • D. P
    P is the vehicle registration code used on license plates for the Lithuanian city of Panevėžys.
  • E. P
    P is the vehicle registration code used on license plates for the Czech city of Plzeň.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: PN
Triple: [National Parliament of East Timor, abbreviation, PN]
Generated description
PN is the commonly used abbreviation for the National Parliament of East Timor, the country's unicameral legislative body.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PN
Target entity description: PN is the commonly used abbreviation for the National Parliament of East Timor, the country's unicameral legislative body.
  • A. PN
    PN is the official abbreviation for the Philippine Navy, the naval warfare branch of the Armed Forces of the Philippines.
  • B. PN
    PN is the vehicle registration code used for the Italian city and province of Pordenone in the Friuli Venezia Giulia region.
  • C. PNP
    The PNP is the national law enforcement agency of Peru responsible for maintaining public order, preventing and investigating crime, and ensuring internal security across the country.
  • D. P
    P is the vehicle registration code used on license plates for the Lithuanian city of Panevėžys.
  • E. P
    P is the vehicle registration code used on license plates for the Czech city of Plzeň.
  • F. None of above. chosen

Provenance (5 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_69ca828153f48190bdb27ac46f8e0745 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf96d1f088190a1d005ffb019afe9 completed March 30, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb147d965881908003551710a1bbff completed March 31, 2026, 12:25 a.m.
NEDg Description generation batch_69cb1732bb608190aa776f23f0dc6189 completed March 31, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69cb1a56d25881908b8413b82edf5508 completed March 31, 2026, 12:50 a.m.
Created at: March 30, 2026, 4:39 p.m.