Triple

T11612584
Position Surface form Disambiguated ID Type / Status
Subject ABS-CBN News and Current Affairs E275418 entity
Predicate brand P1500 FINISHED
Object DZMM
DZMM is a Philippine AM radio station and news service of ABS-CBN, known for its comprehensive news coverage, public affairs programs, and commentary.
 E936681 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: DZMM | Statement: [ABS-CBN News and Current Affairs, brand, DZMM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DZMM
Context triple: [ABS-CBN News and Current Affairs, brand, DZMM]
  • A. DZ
    DZ is the ISO 3166-1 alpha-2 country code for Algeria, a large North African nation on the Mediterranean coast.
  • B. Ddz
    Ddz is the official station code used to identify Dordrecht Zuid railway station in the Netherlands.
  • C. DZG
    DZG is the vehicle registration code assigned to cars registered in the Bogatynia area of Poland.
  • D. MMZ
    MMZ is the ICAO airline designator assigned to EuroAtlantic Airways, a Portuguese charter and wet-lease carrier.
  • E. DNZM
    DNZM is a post-nominal title used to denote a Knight Companion of the New Zealand Order of Merit, one of New Zealand’s highest honours.
  • 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: DZMM
Triple: [ABS-CBN News and Current Affairs, brand, DZMM]
Generated description
DZMM is a Philippine AM radio station and news service of ABS-CBN, known for its comprehensive news coverage, public affairs programs, and commentary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DZMM
Target entity description: DZMM is a Philippine AM radio station and news service of ABS-CBN, known for its comprehensive news coverage, public affairs programs, and commentary.
  • A. DZ
    DZ is the ISO 3166-1 alpha-2 country code for Algeria, a large North African nation on the Mediterranean coast.
  • B. Ddz
    Ddz is the official station code used to identify Dordrecht Zuid railway station in the Netherlands.
  • C. DZG
    DZG is the vehicle registration code assigned to cars registered in the Bogatynia area of Poland.
  • D. MMZ
    MMZ is the ICAO airline designator assigned to EuroAtlantic Airways, a Portuguese charter and wet-lease carrier.
  • E. DNZM
    DNZM is a post-nominal title used to denote a Knight Companion of the New Zealand Order of Merit, one of New Zealand’s highest honours.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a044a3088190b92f4674c2d0b443 completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a84161d88190a3e810d19d6ea8b8 completed April 22, 2026, 10:51 a.m.
NEDg Description generation batch_69e8af9665648190b7732076aa129671 completed April 22, 2026, 11:23 a.m.
NED2 Entity disambiguation (via description) batch_69ee5b41febc8190bc37672535735710 completed April 26, 2026, 6:36 p.m.
Created at: April 8, 2026, 9:38 p.m.