Triple
T1329990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meta Platforms, Inc. |
E28619
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object | META |
E59925
|
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: META | Statement: [Meta Platforms, Inc., tickerSymbol, META]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: META Context triple: [Meta Platforms, Inc., tickerSymbol, META]
-
A.
Meta
chosen
Meta is a multinational technology company best known as the parent of Facebook, Instagram, and WhatsApp, focusing on social media platforms and virtual/augmented reality technologies.
-
B.
MET
MET is the standard abbreviation used for the National Hockey League's Metropolitan Division.
-
C.
MC
MC is the official abbreviation for NATO’s highest military authority, the NATO Military Committee.
-
D.
MC
MC is the postnominal abbreviation used to denote recipients of the Military Cross, a British military decoration awarded for gallantry during active operations against the enemy.
-
E.
Metro
Metro is the rapid transit system serving the Washington, D.C. metropolitan area, operated by the Washington Metropolitan Area Transit Authority (WMATA).
- 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1c449bc8190acb6603a0ddac7fd |
completed | March 1, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf3593748190be52da4a586d69a5 |
completed | March 8, 2026, 12:13 a.m. |
Created at: March 1, 2026, 7:55 p.m.