Triple
T1394998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amsterdam Small Cap Index |
E30644
|
entity |
| Predicate | hasTickerSymbol |
P1447
|
FINISHED |
| Object | ASCX |
E4267
|
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: ASCX | Statement: [Amsterdam Small Cap Index, hasTickerSymbol, ASCX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ASCX Context triple: [Amsterdam Small Cap Index, hasTickerSymbol, ASCX]
-
A.
AScX
chosen
AScX is a Dutch stock market index that tracks the performance of small-cap companies listed on the Amsterdam Stock Exchange.
-
B.
ARCX
ARCX is the Market Identifier Code for the NYSE Arca exchange, an electronic securities trading platform operated by the New York Stock Exchange.
-
C.
ASCC
ASCC is the ASEAN Socio-Cultural Community, a key pillar of ASEAN focused on promoting social development, cultural cooperation, and a people-centered regional identity among member states.
-
D.
ACES
ACES is a college focused on agricultural, consumer, and environmental sciences, commonly associated with land-grant universities such as the University of Illinois at Urbana-Champaign.
-
E.
XAF
XAF is the currency code for the Central African CFA franc, a regional currency used by several Central African countries.
- 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_69a498fd4e408190bd73eca30ea9754c |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c37e60388190a8efcb345be7a1b9 |
completed | March 1, 2026, 10:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acde2c62ac819090179b775ea544c9 |
completed | March 8, 2026, 2:25 a.m. |
Created at: March 1, 2026, 7:59 p.m.